Adaptive and Robust Audio watermarking in Wavelet Domain

Pooyan, Mohammad; Delforouzi, Ahmad

doi:10.1109/iih-msp.2007.68

Cited by 15 publications

(7 citation statements)

References 10 publications

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“…The second category is methods based on transform domain which are more robust than time domain methods. Some of them include methods based on Fast Fourier Transform (FFT) [25], methods based on Discrete Cosine Transform (DCT) [26] and Discrete Wavelet Transform (DWT) base methods [27] In this paper, we propose a new audio watermarking method for embedding watermark sequence into approximation coefficients 3-4 levels of DWT, by echo and FFT methods, in order to decrease audibility and increase robustness against attacks.…”

Section: Intruductionmentioning

confidence: 99%

Presenting a Novel Audio Watermarking Based on Discrete Wavelet Transform

Mosleh¹,

Setayeshi²,

Mosleh³

2011

IJCEE

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Abstract-Digital watermarking techniques are attracting attention as a proper solution to protect copyright for multimedia data. In this paper, we propose a new audio watermarking method, in wavelet coefficients in the way that human auditory system is not sensitive to it. The proposed method can embed the watermark data into levels 3-4 approximation coefficients of wavelet transform using echo and discrete Fourier transform. The extraction algorithm of the proposed method extracts two watermark sequences from watermarked data. The final watermark sequence is obtained by extracted sequence using a hidden key. The experimental results show that the proposed method is very robust to noise. In order to evaluate, the proposed method is compared with the methods based on FFT, Echo and AM Index Terms-Audio Watermarking, Discrete Fourier Transform (DFT) Discrete Wavelet, Transform (DWT) I. INTRUDUCTIONWith the recent development of digital information technology, all personal computer owners enjoy a multimedia processor, a vast band having access to the entire world and an interchangeable memory for digital information. Therefore, digital information is accessible to everyone, and they are distributed easily. With broadcasting information transfer by internet network, the firms can present their digital products by internet network. Although this technology development causes many works to do easy, it has caused some problem as next technologies. Existing different devices such as printing-machines and copying media make the copying of these data easy [1]. Now there are two standard methods to protect copyright of digital documents such as coding and digital signature.The major problem of coding method is that it does not protect the document placing in the stage after coding and is useable. In other words, the user, after applying certain key and decoding the document, can change document in any way or make unauthorized copies of it in numbers. So, document owner is not able to claims his right. If it is made a little change intentionally or not in digital document even one bit of it which uses digital signature to protect copyright, it Manuscript received February 14, 2011; revised July 11, 2011. Mahdi will be impossible for receiver to retrieve digital signature. As a result, the document will lose its credit easily [2].Studies show that the only solution to this problem is to add security information to document in such a way that it doesn't separate from document during its life time and also remains undetectable to document user as much as possible. One of the proper solutions is digital watermarking. Watermarking is a technique that embeds imperceptible and statistically undetectable information into digital data (e.g. video, images and audio signals). This embedded information contains certain information (signature, logo, ID number, etc) which uniquely related to the owner or distributer.Digital watermarking was invented by one of the Muzac firm engineers, Emil Hem brook, in 1954. In this invention an ID co...

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Section: Intruductionmentioning

confidence: 99%

Presenting a Novel Audio Watermarking Based on Discrete Wavelet Transform

Mosleh¹,

Setayeshi²,

Mosleh³

2011

IJCEE

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“…In [5], the authors propose a watermarking system which embeds synchronization signals in time domain to resist against several attacks. Pooyan et al [6] introduce an audio watermarking method which embeds watermarks in wavelet domain. The watermarked data is then encrypted and combined with a synchronization code and embedded into low frequency coefficients of the sound in wavelet domain.…”

Section: Related Researchmentioning

confidence: 99%

A New DCT-Based Watermarking Method for Copyright Protection of Digital Audio

Dhar¹,

Khan²,

Ahmad³

2010

IJCSIT

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“…Considering a trade-off between capacity, transparency and robustness is the main challenge for audio watermarking applications. auditory system (HAS) and different transforms, resulting in various techniques such as embedding algorithms based on low-bit coding, echo, patchwork [3], rational dither modulation [4], Fourier transform [5,6], quantization [7,8,10] and the wavelet transform [9,11].…”

Section: Introductionmentioning

confidence: 99%

“…In frequency domain watermarking, after taking one of the usual transforms such as the Discrete/Fast Fourier Transform (DFT/FFT) [5,6], the Modified Discrete Cosine Transform (MDCT) or the Wavelet Transform (WT) [9,11,17,18] from the signal, the hidden bits are embedded into the resulting transform coefficients.…”

Section: Introductionmentioning

confidence: 99%

“…In [5,6] the FFT domain is selected to embed watermarks for making use of the translation-invariant property of the FFT coefficients to resist small distortions in the time domain. In particular, [5,6,9,11,17,18] show that the frequency domain provides excellent robustness against attacks. In fact, using methods based on transforms provides a better perception quality and robustness against common attacks at the price of increasing the computational complexity.…”

Section: Introductionmentioning

confidence: 99%

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High capacity audio watermarking using the high frequency band of the wavelet domain

Fallahpour

Megías

2010

Multimed Tools Appl

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This paper proposes a novel high capacity robust audio watermarking algorithm by using the high frequency band of the wavelet decomposition at which the human auditory system (HAS) is not very sensitive to alteration. The main idea is to divide the high frequency band into frames and, for embedding, to change the wavelet samples depending on the average of relevant frame's samples. The experimental results show that the method has a very high capacity (about 11,000 bps), without significant perceptual distortion 0] and SNR about 30dB), and provides robustness against common audio signal processing such as add noise, filtering, echo and MPEG compression (MP3).

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Adaptive and Robust Audio watermarking in Wavelet Domain

Cited by 15 publications

References 10 publications

Presenting a Novel Audio Watermarking Based on Discrete Wavelet Transform

Presenting a Novel Audio Watermarking Based on Discrete Wavelet Transform

A New DCT-Based Watermarking Method for Copyright Protection of Digital Audio

High capacity audio watermarking using the high frequency band of the wavelet domain

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